The challenges of achieving postprandial glucose control using closed-loop systems in patients with type 1 diabetes.
Diabetes Obes Metab
; 20(2): 245-256, 2018 02.
Article
em En
| MEDLINE
| ID: mdl-28675686
For patients with type 1 diabetes, closed-loop delivery systems (CLS) combining an insulin pump, a glucose sensor and a dosing algorithm allowing a dynamic hormonal infusion have been shown to improve glucose control when compared with conventional therapy. Yet, reducing glucose excursion and simplification of prandial insulin doses remain a challenge. The objective of this literature review is to examine current meal-time strategies in the context of automated delivery systems in adults and children with type 1 diabetes. Current challenges and considerations for post-meal glucose control will also be discussed. Despite promising results with meal detection, the fully automated CLS has yet failed to provide comparable glucose control to CLS with carbohydrate-matched bolus in the post-meal period. The latter strategy has been efficient in controlling post-meal glucose using different algorithms and in various settings, but at the cost of a meal carbohydrate counting burden for patients. Further improvements in meal detection algorithms or simplified meal-priming boluses may represent interesting avenues. The greatest challenges remain in regards to the pharmacokinetic and dynamic profiles of available rapid insulins as well as sensor accuracy and lag-time. New and upcoming faster acting insulins could provide important benefits. Multi-hormone CLS (eg, dual-hormone combining insulin with glucagon or pramlintide) and adjunctive therapy (eg, GLP-1 and SGLT2 inhibitors) also represent promising options. Meal glucose control with the artificial pancreas remains an important challenge for which the optimal strategy is still to be determined.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Glicemia
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Pâncreas Artificial
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Diabetes Mellitus Tipo 1
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Refeições
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Hiperglicemia
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Hipoglicemia
Limite:
Adult
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Child
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Humans
Idioma:
En
Ano de publicação:
2018